ReviewFrontiers in endocrinology2018
Use of Readily Accessible Inflammatory Markers to Predict Diabetic Kidney Disease.
Review in Frontiers in endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Association of Neutrophil Percentage-to-Albumin Ratio (NPAR) With Pathological Features and Long-Term Prognosis in Diabetic Kidney Disease: A Cohort Study.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026Article
- Selection and Validation of Novel Biomarkers for ntOPN-Based Models for Diabetic Kidney Disease in Patients With Diabetes Mellitus.Journal of diabetes research · 2026Article
- Research on a Predictive Model for Microalbuminuria in Type 2 Diabetes Based on Machine Learning and SHAP Analysis.International journal of endocrinology · 2026Article
- Associations of Geriatric Nutritional Risk Index and Prognostic Nutritional Index With All-Cause and Cardiovascular Mortality in DKD: NHANES 1999-2018.International journal of endocrinology · 2026Article
- Machine learning algorithms for diabetic kidney disease risk predictive model of Chinese patients with type 2 diabetes mellitus.Renal failure · 2025Article
- Article
- Is There a Link Between Type 2 Diabetes Mellitus and Negative Symptoms in Schizophrenia? A Scoping Review.Brain sciences · 2025Review
- A SuperLearner approach for predicting diabetic kidney disease upon the initial diagnosis of T2DM in hospital.BMC medical informatics and decision making · 2025Article
- Urinary Fetuin-A with Specific Post-Translational Modification in Type 1 Diabetes Patients with Normoalbuminuria and Preserved Kidney Function.Diagnostics (Basel, Switzerland) · 2025Article
- Development of a predictive model for the risk of microalbuminuria: comparison of 2 machine learning algorithms.Journal of diabetes and metabolic disorders · 2024Article
- Follow-up study to explore the relationship between Neutrophil to lymphocyte ratio and impaired fasting glucose-using the group-based trajectory modeling.Scientific reports · 2024Article
- Inhibition of Interleukin-33 to Reduce Glomerular Endothelial Inflammation in Diabetic Kidney Disease.Kidney international reports · 2024Article
- Neutrophil-to-lymphocyte ratio associated with renal function in type 2 diabetic patients.World journal of clinical cases · 2024Article
- The implication of miR-200a and miR-132 expression and their correlations with NF-κB/TNF-alpha signaling in adults with diabetic nephropathy.Saudi journal of biological sciences · 2024Article
- Exploring the relations of NLR, hsCRP and MCP-1 with type 2 diabetic kidney disease: a cross-sectional study.Scientific reports · 2024Article
- Risk assessment of severe adult tetanus using the NLR and AST level and construction of a nomogram prediction model.Heliyon · 2024Article
- The unique association between the level of plateletcrit and the prevalence of diabetic kidney disease: a cross-sectional study.Frontiers in endocrinology · 2024Article
- Association of Systemic Immune-Inflammation Index and Systemic Inflammation Response Index with Diabetic Kidney Disease in Patients with Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024Article
- Clinical value of lymphocyte count in autoimmune diabetic nephropathy.Zhong nan da xue xue bao. Yi xue ban = Journal of Central South University. Medical sciences · 2023Article
- Exploring the Correlates of Hematological Parameters With Early Diabetic Nephropathy in Type 2 Diabetes Mellitus.Cureus · 2023Article
Corrections and comments
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Diabetic kidney disease is a common complication of type 1 and type 2 diabetes and is the primary cause of end-stage renal disease in developed countries. Early detection of diabetic kidney disease will facilitate early intervention aimed at reducing the rate of progression to end-stage renal disease. Diabetic kidney disease has been traditionally classified based on the presence of albuminuria. More recently estimated glomerular filtration rate has also been incorporated into the staging of diabetic kidney disease. While albuminuric diabetic kidney disease is well described, the phenotype of non-albuminuric diabetic kidney disease is now widely accepted. An association between markers of inflammation and diabetic kidney disease has previously been demonstrated. Effector molecules of the innate immune system including C-reactive protein, interleukin-6, and tumor necrosis factor-α are increased in patients with diabetic kidney disease. Furthermore, renal infiltration of neutrophils, macrophages, and lymphocytes are observed in renal biopsies of patients with diabetic kidney disease. Similarly high serum neutrophil and low serum lymphocyte counts have been shown to be associated with diabetic kidney disease. The neutrophil-lymphocyte ratio is considered a robust measure of systemic inflammation and is associated with the presence of inflammatory conditions including the metabolic syndrome and insulin resistance. Cross-sectional studies have demonstrated a link between high levels of the above inflammatory biomarkers and diabetic kidney disease. Further longitudinal studies will be required to determine if these readily available inflammatory biomarkers can accurately predict the presence and prognosis of diabetic kidney disease, above and beyond albuminuria, and estimated glomerular filtration rate.
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